Lok Sai Vajja
@loksaivajja
I build fraud decisioning and data pipelines that reduce losses and customer friction.
What I'm looking for
At PTC, I develop SQL-based fraud strategy rules and decision logic for payment and onboarding workflows, reducing false positives by 25% and improving fraud capture by 30%.
I've partnered with risk analytics, data science, compliance, and legal teams to translate risk scores into operational controls, improve model precision through champion/challenger testing, and strengthen synthetic-identity control documentation.
Previously at Wipro, I delivered ETL solutions, integrated REST APIs with Python, optimized SQL reporting performance, and improved cross-system data consistency through systematic testing and reconciliation.
Experience
Work history, roles, and key accomplishments
Fraud Data Analyst
PTC
Jan 2025 - Present (1 year 7 months)
Developed fraud strategy rules and decision logic using SQL to detect payment fraud patterns, reducing false positives by 25% across onboarding workflows. Analyzed fraud patterns and loss exposure from transaction data in PostgreSQL, identifying account takeover signals that improved fraud capture by 30%.
Education
Degrees, certifications, and relevant coursework
California State University, San Bernardino
Master of Science, Computer Science
2023 - 2025
Grade: 3.7/4.0
Pursued a Master of Science in Computer Science, achieving a GPA of 3.7/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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